Robust regression using sparse learning for high dimensional parameter estimation problems.
Kaushik MitraAshok VeeraraghavanRama ChellappaPublished in: ICASSP (2010)
Keyphrases
- estimation problems
- robust regression
- sparse learning
- high dimensional
- sparse coding
- elastic net
- multi task
- sparse representation
- undirected graphical models
- dimensionality reduction
- low dimensional
- high dimensional data
- parameter estimation
- variable selection
- similarity search
- data points
- feature space
- relevance vector machine
- dimension reduction
- linear regression
- kernel function
- regularization parameter
- natural images
- density estimation
- regression methods
- least squares support vector machine
- computer vision
- particle filter
- higher order
- decision trees